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Wynd Labs

Data Engineer

NEW
RemoteFull-timeGlobal
šŸ“Š MidšŸ  Remote
RemoteRemote work position availableActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will design, build, and optimize scalable data pipelines to ingest, transform, and serve large volumes of web and multimedia data. You will develop and manage ETL/ELT workflows, integrate and tune cloud database infrastructure, automate infrastructure and data workflows, and monitor and troubleshoot pipeline performance to ensure data quality and availability.

Requirements

  • ā—Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field
  • ā—Extensive experience with cloud data warehouse systems such as Redshift or Snowflake
  • ā—Advanced proficiency in SQL and query performance optimization
  • ā—Experience building and managing data pipelines with Airflow, AWS Glue, or similar tools
  • ā—Strong understanding of ETL processes and data integration best practices
  • ā—Experience with infrastructure automation tools such as Terraform or CloudFormation
  • ā—Proficiency in Python, Scala, or Java for pipeline orchestration and data manipulation
  • ā—Familiarity with containerization and orchestration using Docker and Kubernetes
  • ā—Strong analytical and problem-solving skills

Responsibilities

  • ā—Design scalable data pipelines for batch and real-time processing
  • ā—Develop and manage ETL/ELT workflows to transform raw data into structured formats
  • ā—Integrate and configure database infrastructure for performance and scalability
  • ā—Automate data workflows and infrastructure setup using infrastructure as code
  • ā—Collaborate with data scientists and analysts to ensure data accessibility
  • ā—Monitor, troubleshoot, and improve pipeline and infrastructure performance
  • ā—Manage cloud databases, storage, and compute resources efficiently
  • ā—Implement data governance, data security, and disaster recovery practices

Benefits & Perks

  • ā—Remote work
  • ā—Equity package
  • ā—Benefits package

Tech Stack

data pipelineELTdata securitydata governanceGlueETLAWS GlueAirflowSnowflakeKubernetesproject:Wynd Network
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